template<class Function>
class ROOT::Minuit2::FumiliFCNAdapter< Function >

template wrapped class for adapting to FumiliFCNBase signature

Author: Lorenzo Moneta

Definition at line 47 of file FumiliFCNAdapter.h.

Public Types
typedef Function::Type_t	Type_t

Public Member Functions
	FumiliFCNAdapter (const Function &f, unsigned int ndim, double up=1.)

	~FumiliFCNAdapter ()

double	operator() (const std::vector< double > &v) const
	The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value. More...

double	operator() (const double *v) const

double	Up () const
	Error definition of the function. More...

void	SetErrorDef (double up)
	add interface to set dynamically a new error definition Re-implement this function if needed. More...

void	EvaluateAll (const std::vector< double > &v)
	evaluate gradient hessian and function value needed by fumili More...

Public Member Functions inherited from ROOT::Minuit2::FumiliFCNBase
	FumiliFCNBase ()
	Default Constructor. More...

	FumiliFCNBase (unsigned int npar)
	Constructor which initializes the class with the function provided by the user for modeling the data. More...

virtual	~FumiliFCNBase ()

virtual double	Value () const
	Return cached Value of objective function estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual const std::vector< double > &	Gradient () const
	Return cached Value of function Gradient estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual double	Hessian (unsigned int row, unsigned int col) const
	Return Value of the i-th j-th element of the Hessian matrix estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual unsigned int	Dimension ()
	return number of function variable (parameters) , i.e. More...

Public Member Functions inherited from ROOT::Minuit2::FCNBase
virtual	~FCNBase ()

virtual double	ErrorDef () const
	Error definition of the function. More...

Public Member Functions inherited from ROOT::Minuit2::GenericFunction
virtual	~GenericFunction ()

Private Attributes
const Function &	fFunc

double	fUp

Additional Inherited Members
Protected Member Functions inherited from ROOT::Minuit2::FumiliFCNBase
virtual void	InitAndReset (unsigned int npar)
	initialize and reset values of gradien and Hessian More...

void	SetFCNValue (double value)

std::vector< double > &	Gradient ()

std::vector< double > &	Hessian ()

#include <Minuit2/FumiliFCNAdapter.h>

Inheritance diagram for ROOT::Minuit2::FumiliFCNAdapter< Function >:

Collaboration diagram for ROOT::Minuit2::FumiliFCNAdapter< Function >:

Member Typedef Documentation

template<class Function>

typedef Function::Type_t ROOT::Minuit2::FumiliFCNAdapter< Function >::Type_t

Definition at line 52 of file FumiliFCNAdapter.h.

Constructor & Destructor Documentation

template<class Function>

ROOT::Minuit2::FumiliFCNAdapter< Function >::FumiliFCNAdapter	(	const Function &	f,
		unsigned int	ndim,
		double	up = `1.`
	)

inline

Definition at line 54 of file FumiliFCNAdapter.h.

template<class Function>

ROOT::Minuit2::FumiliFCNAdapter< Function >::~FumiliFCNAdapter ( )

inline

Definition at line 60 of file FumiliFCNAdapter.h.

Member Function Documentation

template<class Function >

void ROOT::Minuit2::FumiliFCNAdapter< Function >::EvaluateAll ( const std::vector< double > & v )

virtual

evaluate gradient hessian and function value needed by fumili

Implements ROOT::Minuit2::FumiliFCNBase.

Definition at line 95 of file FumiliFCNAdapter.h.

template<class Function>

double ROOT::Minuit2::FumiliFCNAdapter< Function >::operator() ( const std::vector< double > & x ) const

inlinevirtual

The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value.

The order and the position of these parameters is strictly the one specified by the user when supplying the starting values for minimization. The starting values must be specified by the user, either via an std::vector<double> or the MnUserParameters supplied as input to the MINUIT minimizers such as VariableMetricMinimizer or MnMigrad. Later values are determined by MINUIT as it searches for the Minimum or performs whatever analysis is requested by the user.

Parameters

par	function parameters as defined by the user.

Returns: the Value of the function.

See also: MnUserParameters; VariableMetricMinimizer; MnMigrad

Implements ROOT::Minuit2::FCNBase.

Definition at line 63 of file FumiliFCNAdapter.h.

template<class Function>

double ROOT::Minuit2::FumiliFCNAdapter< Function >::operator() ( const double * v ) const

inline

Definition at line 66 of file FumiliFCNAdapter.h.

template<class Function>

void ROOT::Minuit2::FumiliFCNAdapter< Function >::SetErrorDef ( double )

inlinevirtual

add interface to set dynamically a new error definition Re-implement this function if needed.

Reimplemented from ROOT::Minuit2::FCNBase.

Definition at line 71 of file FumiliFCNAdapter.h.

template<class Function>

double ROOT::Minuit2::FumiliFCNAdapter< Function >::Up ( ) const

inlinevirtual

Error definition of the function.

MINUIT defines Parameter errors as the change in Parameter Value required to change the function Value by up. Normally, for chisquared fits it is 1, and for negative log likelihood, its Value is 0.5. If the user wants instead the 2-sigma errors for chisquared fits, it becomes 4, as Chi2(x+n*sigma) = Chi2(x) + n*n.

Implements ROOT::Minuit2::FCNBase.

Definition at line 69 of file FumiliFCNAdapter.h.